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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hu Yimin Song Liangtu |
| Copyright Year | 2012 |
| Description | Author affiliation: Institute of Intelligent Machines Chinese Academy of Science (Hu Yimin; Song Liangtu) |
| Abstract | The paper proposes a user interest model based on user query keywords expanding, using information contained in an ontology for agriculture search engine, so more personalized search results can be returned by search engine with user interest model. Every user interest model for each user contains several sets of concepts, which are expanded from keywords submitted by user in the past period of time based on agricultural category ontology, and pruned based on user browsing behavior to reduce the model size to accelerate the response of search engine. Finally, the approach has been successfully implemented in a module of agriculture search engine SOUNONG1 which helps the system improve the relevance of responses to user queries. |
| Starting Page | 475 |
| Ending Page | 479 |
| File Size | 156320 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467322058 |
| e-ISBN | 9781467322072 |
| DOI | 10.1109/ISRA.2012.6219228 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-03 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ontology Query expanding Agriculture vertical search engine Interest Model Robots |
| Content Type | Text |
| Resource Type | Article |
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